{"id":"W2800997190","doi":"10.1186/s12920-018-0342-1","title":"EAGLE: Explicit Alternative Genome Likelihood Evaluator","year":2018,"lang":"en","type":"article","venue":"BMC Medical Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Core Research for Evolutional Science and Technology; Japan Society for the Promotion of Science; National Institute of Advanced Industrial Science and Technology","keywords":"Computational biology; Human genetics; Biology; Genome; Genome Biology; Genetics; Evolutionary biology; Genomics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009611449,0.002044014,0.00151108,0.002073084,0.0008130132,0.002475221,0.00399824,0.002720556,0.02065166],"category_scores_gemma":[0.02570171,0.0008529612,0.002135914,0.001272236,0.001346489,0.00304862,0.003348154,0.00311853,0.004648356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015371,"about_ca_system_score_gemma":0.002054153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002770079,"about_ca_topic_score_gemma":0.004952049,"domain_scores_codex":[0.9949149,0.002562649,0.0003338296,0.0008063218,0.001094764,0.0002875556],"domain_scores_gemma":[0.9842785,0.01216063,0.0005676776,0.001338985,0.001397033,0.0002572365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001911457,0.0003548761,0.01061078,0.000743926,0.000491717,0.0005988209,0.0004127666,0.4537866,0.006410863,0.03074826,0.03215319,0.4617768],"study_design_scores_gemma":[0.0001069439,0.0001010569,0.0005877339,0.00005289141,0.00003457079,0.0001353789,0.0000441926,0.9713629,0.003548304,0.01885228,0.00513627,0.00003725573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01681354,0.0007655346,0.9497882,0.0004374307,0.0001114588,0.0001775788,0.001124096,0.02657805,0.004204107],"genre_scores_gemma":[0.2280205,0.000210406,0.7587929,0.0006363208,0.0001322509,0.0004396519,0.003651127,0.003354061,0.004762786],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02065166,"threshold_uncertainty_score":0.06908673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958887604775311,"score_gpt":0.2800712954907516,"score_spread":0.2604824194429985,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}